An AI market-research platform with competitor analysis and a LangGraph-based TAM/SAM calculator, turning a founder's research process into self-serve tools.
TAM/SAM, competitors, personas, creative and branding research
5 modules
Perplexity, Exa and Tavily search in one workflow
Multi-source
Research run on demand with a credit system
Self-serve
The starting point
The challenge
Consultants and product teams spend days stitching together web research, competitor notes and spreadsheet maths to size a market. The founder wanted that process as a product: fast, evidence-backed and repeatable.
The solution
What we built
Worked closely with the founder over an extended engagement, turning their ideas into a coherent plan and building each module around their research method.
Built multi-step research workflows with LangGraph, combining LLM reasoning with search tools such as Perplexity, Exa and Tavily.
Created modules for TAM and SAM calculation, competitor analysis, persona development, creative research and branding evaluation.
Generated structured reports with executive summaries and key data points, run on demand with a credit system.
Architecture
How the system works
How it fits together Data flow
01Research questionMarket, product or competitor
02PlanLangGraph multi-step workflow
03SearchPerplexity, Exa, Tavily
04AnalyseLLM reasoning and sizing maths
05ReportExecutive summary and data points
Engineering
How it was engineered
Traced research runs in LangSmith, step by step.
Scope
What was delivered
01
LangGraph research workflows
02
TAM/SAM calculator
03
Competitor analysis module
04
Persona, creative and branding research modules
05
Report generation
Gallery
Screens and diagrams
A generated market-potential report with an executive summary and key data points.The research roadmap, with each module run on demand.The research workflow, from question to structured report.
“Zubair is fantastic! I worked with him an extended period of time and he was able to translate my disparate thoughts into a coherent plan and build exactly what I wanted. I highly recommend [him], and look forward to working with him again.”
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